Don’t boil the ocean! 🌊 Start streaming in pockets. Prove value, break silos, and harmonize data. Streaming tech = the 2025 game-changer for data ecosystems. What’s your prediction? 🤔 PS: Catch the full replay here 👉

When considering pricing for managed service providers, several key value drivers should be considered: 🔑 Deployment options 🔑 Managed connections 🔑 Schema management 🔑 Developer experience Learn how to weigh the options in our guide 👉

When Medidata faced siloed pipelines and ETL workflows, they turned to Decodable for the solution. Not only could they scale to 1,000+ pipelines, but we also simplified their Apache Iceberg integration. Join our webinar to learn how your org can achieve the same results. 👉

Future proof your streaming architecture with Decodable’s #BYOC options. Learn how Decodable can help you create the perfect mix of DIY flexibility and SaaS convenience with our bring your own cloud deployment options. Grab your copy 📑

1,000+ pipelines, unified. Apache Iceberg, simplified. Real-time insights, unlocked. Learn how Medidata transformed their data stack at our next live webinar. 📅 Feb 13th ⏰ 10am PST / 1pm EST Register now 💥

Kubernetes is widely used to deploy Apache Flink. In his recent article, @gunnarmorling explores fault tolerance, high availability, savepoint management, and observability when running Flink on Kubernetes clusters. Learn more 👉

Kubernetes is widely used to deploy Apache Flink... but how? @gunnarmorling is sharing insights into installation, setup, deploying processing jobs, and creating container images for your Flink jobs. Read more 👉

📊 Replication lag in Postgres? It’s not always a problem—unless you're not prepared. Monitoring WAL growth is key to keeping your database healthy. Learn more from @gunnarmorling in this on-demand AMA. 🎥

Evaluating #BYOC deployments? Decodable can help you keep control of your data without increasing your operational burden with our bring your own cloud deployment options. Learn more 👉

Struggling with real-time data pipelines? Join our hands-on lab to build a Postgres-to-OpenSearch pipeline in minutes. ⏱️ Learn streaming SQL, denormalization, and more—all in the cloud. Save your spot 👉

Not all #BYOC solutions are created equal. Get our latest technical guide and learn how Decodable’s new bring your own cloud deployment options are helping enterprises balance data sovereignty, operational simplicity, and flexibility. Download now 👉

Analyzing real-time data from multiple disparate source systems can be tricky. Tackling the complexity of merging data in motion from several locations using streaming SQL joins can be challenging. That's where Decodable shines☀️, making it easy to build, manage, and maintain complex data flows. Join our next virtual hands-on lab and we'll show you how 👇

Decodable’s real-time data platform supports dynamic lineage graphs to provide enterprises with the necessary insights to effectively manage the ever-growing complexity they face with their end-to-end data flows on a daily basis. Discover more about the easiest way to build your data flows interactively, inspect metrics, and diagnose processing issues ➡️

🚀Transform your data workflows with Decodable. See how real-time data processing works, from ingesting CDC streams to transforming and enriching data with SQL and custom pipelines. Watch the full talk on demand 👉

Managing resources of any type at scale becomes incredibly challenging over time, but Decodable's tagging capabilities can help you quickly categorize, describe, and discover your data pipeline resources based on their shared attributes. Learn more 👉

Struggling to capture data changes from Postgres? Join @gunnarmorling and @hpgrahsl for this virtual hands-on lab to learn how to stream them in real time. 🗓️ January 30th ⏰ 9 -10:30am PST / 5 - 6:30pm UTC We'll guide you through how to: - Set up real-time ETL in minutes with Decodable. - Configure managed connectors for Postgres and OpenSearch. - Transform data in real time with streaming SQL for filtering, denormalizing, and more. Save your spot 👉

From replication to innovation 🚀 Discover how Drata’s real-time data pipelines are fueling AI workloads and empowering teams across the org. This is data evolution in action! 🎥 Watch now:

In production, robust observability is essential for keeping data flowing and your systems secure & compliant. Monitor connector health, track data quality, and audit platform operations to prevent issues before they impact performance. Learn more 👉

The future of data and AI starts TOMORROW! ...or at least the predictions do. Join @esammer, @emaxerrno, @eric_kavanagh and @suvania as they talk about the intersection between real-time data and artificial intelligence. 🗓️ January 30th 🕰️ 11am PST / 2pm EST Register here 👉

Backfill struggles with #Debezium? They’re real—but incremental snapshots are a game changer. Trigger ad hoc snapshots while staying connected to your transaction log. Curious how it works? @gunnarmorling explains it all in this on-demand AMA 🎥